Journal of Artificial Intelligence and Engineering Applications (JAIEA)最新文献_第10页

PREDICTION OF PRODUCT SALES RESULTS USING ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) 基于自适应神经模糊推理系统(anfis)的产品销售结果预测

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-09 DOI: 10.59934/jaiea.v1i2.73

Dolli Sari Sinaga, A. Windarto, Rizki Alfadillah Nasution, Irfan Sudahri Damanik

{"title":"PREDICTION OF PRODUCT SALES RESULTS USING ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS)","authors":"Dolli Sari Sinaga, A. Windarto, Rizki Alfadillah Nasution, Irfan Sudahri Damanik","doi":"10.59934/jaiea.v1i2.73","DOIUrl":"https://doi.org/10.59934/jaiea.v1i2.73","url":null,"abstract":"This study aims to optimize profits and minimize losses from product sales at X Market has achieved in the future. The data used in this study were obtained directly from X Market Trade by observing and interviewing. X Market Tradingis one of the industries that produces and sells food products to be marketed in the region and outside the region. The data to be processed is the result of the sale of food products at X Market uses the adaptive neuro fuzzy inference system (ANFIS) method which is a combination of Fuzzy Logic and Artificial Neural Networks. The data used is monthly sales data from 2018 to 2020 as many as 36 data. From a total of 36 data, it will be divided into 2 types of training and test data distribution, namely 90:10 with a total of 60 epochs and a learning rate range of 0.1 – 0.9. From the research results obtained the highest accuracy of 88.55% on 90% training data and 10% test data with a learning rate of 0.6. It was concluded that the ANFIS method could be implemented in predicting the sales of tofu. By doing this research is expected to provide input to X Market in optimizing profits and minimizing losses from product sales in the future.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122692214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Expert System Diagnosing Damage to Canon Ir5000 Copier With Forward Chaining Method 用正向链法诊断佳能Ir5000复印机损坏的专家系统

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-09 DOI: 10.59934/jaiea.v1i2.76

Mega Indriani, Fitri Anggraini, Dedy Hartama, Muhammad Ridwan Lubis

{"title":"Expert System Diagnosing Damage to Canon Ir5000 Copier With Forward Chaining Method","authors":"Mega Indriani, Fitri Anggraini, Dedy Hartama, Muhammad Ridwan Lubis","doi":"10.59934/jaiea.v1i2.76","DOIUrl":"https://doi.org/10.59934/jaiea.v1i2.76","url":null,"abstract":"A photocopy machine is a machine that works mechanically to fulfill the function of copying one document on a machine into another paper in black-and-white copies. During the copying process, various defects often occur, so a technician is needed to repair it. While waiting for the arrival of a technician to repair a damaged machine, it takes some time. Therefore, we need a strategy that can quickly find out the type of photocopier damage and how to handle it to help repair the damage to the photocopier. with the transfer of expertise by experts to be transferred again to other people who are not yet experts is the main goal of the system. In the process of drawing conclusions the system uses the Forward Chaining algorithm where the system will display symptoms of photocopy machine damage to be selected by the user, which can finally determine the solution to the damage to the machine. The results obtained from making this application are easier to obtain by making an expert system to diagnose photocopier damage and can be used and studied easily by the general public. for handling the problem of damage to the Canon IR 5000 photocopier using the Sublime Text Application as supporting software in terms of designing the layout of the application design, using the MySQL Database as a database design place and XAMPP v3.2.1 to run the database server and php.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115330716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Grouping Medical Record Data By Type Diseases With K-Means Algorithm 基于K-Means算法的病案数据分类

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-09 DOI: 10.59934/jaiea.v1i2.78

Remonaldi Purba, I. Parlina, Rafiqa Dewi, I. Purnama

引用次数: 0

Application Of Sugeno Fuzzy Logic In The Determination Of Employee Incentives Sugeno模糊逻辑在员工激励决策中的应用

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-09 DOI: 10.59934/jaiea.v1i2.80

Fernandez Erik, Napitu, Solikhun, Ika Okta Kirana

{"title":"Application Of Sugeno Fuzzy Logic In The Determination Of Employee Incentives","authors":"Fernandez Erik, Napitu, Solikhun, Ika Okta Kirana","doi":"10.59934/jaiea.v1i2.80","DOIUrl":"https://doi.org/10.59934/jaiea.v1i2.80","url":null,"abstract":"Suzuya superstore is one of the marketers of human needs products that have various types of products. Suzuya already has several branches in Indonesia which are located in North Sumatra, Aceh, West Sumatra, and Riau. Suzuya was founded in 1983 and currently suzuya already has more than 22 outlets, one of which is in Pematangsiantar. Suzuya superstore Pematangsiantar has employees who are divided into several teams, one of which is the cashier team. The cashier team is the spearhead of the sale of focus items, where the focus item is the flagship product of suzuya superstore Pematangsiantar. The cashier team is also responsible for the sales transaction service process at suzuya superstore Pematangsiantar. The existence of incentives can motivate the work spirit of the cashier team in increasing sales, work speed, and good transaction processing service attitude at suzuya superstore Pematangsiantar. In determining the feasibility of the cashier team receiving incentives at suzuya superstore Pematangsiantar, three variables were used, namely sales of focus items, assessment of work attitudes, and assessment of work speed. Based on the results of processing the cashier team's data using the fuzzy logic algorithm, the Sugeno method, manually and using Matlab software, there was no significant difference. So that Fuzzy Logic with the Sugeno method can be used to determine employee incentives at suzuya superstore Pematangsiantar","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131553637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application Of Sugeno's Fuzzy Inference System In Determining Inventory Goat Milk Sugeno模糊推理系统在羊奶库存确定中的应用

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-09 DOI: 10.59934/jaiea.v1i2.75

Windah Sahara, Eka Irawan, Heru Satria Tambunan, H. Okprana, Y. Purba

引用次数: 1

IMPLEMENTATION OF FUZZY LOGIC USING SUGENO METHOD OF SCHOLARSHIP DETERMINATION 用模糊逻辑实现sugeno法确定奖学金

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-09 DOI: 10.59934/jaiea.v1i2.79

Boy Alberto Sitanggang Boy

引用次数: 0

Application of The Fuzzy Tsukamoto Method in Determining Household Industry Products 模糊冢本法在家居工业产品判定中的应用

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2021-10-14 DOI: 10.59934/jaiea.v1i1.57

Nadra Savira Pasaribu, Jata Tata Hardinata, Hendry Qurniawan

引用次数: 5

Application of the C4.5 Algorithm in Teaching Teachers' Skills on Learning Effectiveness C4.5算法在教师学习效能技能教学中的应用

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2021-10-14 DOI: 10.59934/jaiea.v1i1.54

Feby Widya Sari, M. Safii

引用次数: 0

Application of K-Means Algorithm in Grouping Households Accessing the Internet by Province k -均值算法在省户上网分组中的应用

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2021-10-14 DOI: 10.59934/jaiea.v1i1.59

Zahra Syahara, Saifullah, Jalaluddin

引用次数: 0

Cluster Analysis Based on McKinsey 7s Framework in Improving University Services 基于麦肯锡7s框架的大学服务改进聚类分析

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2021-10-14 DOI: 10.59934/jaiea.v1i1.45

Deny Jollyta, Dwi Oktarina, Gusrianty, R. Astri, Lina Arliana, Nurettin Kadi̇m, Ni Gusti, Ayu Dasriani, Dharma Andalas

{"title":"Cluster Analysis Based on McKinsey 7s Framework in Improving University Services","authors":"Deny Jollyta, Dwi Oktarina, Gusrianty, R. Astri, Lina Arliana, Nurettin Kadi̇m, Ni Gusti, Ayu Dasriani, Dharma Andalas","doi":"10.59934/jaiea.v1i1.45","DOIUrl":"https://doi.org/10.59934/jaiea.v1i1.45","url":null,"abstract":"The epidemic of Covid-19 has impacted all aspects of human life, including education. Academic and administrative services for academic community are suffering, as a result of the fact that not all universities are able to provide online services to help break the chain of Covid-19 distribution. This is due to a lack of human competencies to use technology and a lack of information technology resources, necessitating the development of new strategies by universities to address these flaws. The goal of this study is to develop a university service strategy based on McKinsey 7s cluster results on the part that is having issues based on questionnaire data. The questionnaire is organized on seven McKinsey elements. The Manhattan distance calculation and the K-Medoids algorithm results demonstrated that the structure, system, skill and staff are all part of elements that clustered in k=2 and has to be addressed in aiding services during the Covid-19 pandemic. The McKinsey 7s showed that universities service enhancements may be achieved by combining clustering techniques and McKinsey framework.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125806970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1